Machine Learning (ML)/Artificial Intelligence (AI) Intern/Co-op
Are you applying to the internship?
Job Description
About AMD:
AMD is a company deeply committed to transforming lives through technology, enriching its industry, communities, and the world. Its mission is to build products that accelerate next-generation computing experiences across various sectors including data centers, artificial intelligence, PCs, gaming, and embedded systems. AMD fosters a culture of innovation, striving for execution excellence while emphasizing directness, humility, collaboration, and inclusivity. The company offers a multifaceted, high-energy work environment with opportunities for career development, mentorship, and networking.
Job Description: Machine Learning (ML)/Artificial Intelligence (AI) Intern/Co-op
Location: Austin, TX
Work Structure: Hybrid or Onsite (full-time, 40 hours/week)
Duration: September 8, 2025 – December 12, 2025
This internship provides hands-on experience in research and development of next-generation product differentiation features. Interns will work alongside experienced ML/AI engineers, learning innovative technologies in Machine Learning, AI, and High-Performance Compute.
Responsibilities may include:
• Analyzing and implementing algorithm changes to improve AI performance and user experiences.
• Working on machine learning techniques for applications such as source code analysis and image corruption detection.
• Research, development, and deployment of machine learning-based and computer vision products on AMD’s current and future products.
• Troubleshooting and resolving issues with deployed AI to enhance user experience.
• Supporting AI software teams with roadmap planning, collateral development, and customer engagements.
Qualifications:
• Currently enrolled in a US-based university Master’s program in Computer Science, Computer Engineering, Data Science/Analytics, or a related field.
• Strong knowledge/experience in one or more of the following: Machine learning, data science, computer vision, statistics, mathematics.
• Proficiency in: Python, C/C++, relational (SQL) and NoSQL databases, machine learning algorithms and frameworks, deep learning/AI frameworks (PyTorch, TensorFlow, Caffe, etc.).
• Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.
